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Python Data Science Jobs in Raleigh, NC (NOW HIRING)

Fidelity Investments

Director, Data Science

Durham, NC · On-site

Leads and oversees end-to-end data science initiatives, guiding teams through data cleansing ... Python, and SAS programming languages; and analyzing and evaluating model results by creating data ...

McGough Construction

Manager, Data Science

Raleigh, NC · On-site

MANAGER, DATA SCIENCE The Manager of Data Science will build and lead a focused, high-impact team ... Strong programming experience in Python (or equivalent), including data manipulation, modeling, and ...

Varsity Tutors

Data Science Tutor

Durham, NC · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Varsity Tutors

Data Science Tutor

Chapel Hill, NC · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

LexisNexis

Manager Data Science

Raleigh, NC · On-site

The Manager, Data Science will lead the development of advanced AI and machine learning models ... Python or another programming language. • Excellent communicator, able to translate complex ...

Varsity Tutors

Data Science Tutor

Raleigh, NC · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

NCSU

Lecturer of Data Science

Raleigh, NC

$4.0K/wk

Introduction to R/Python for Data Science, * Introduction to Data Visualization, * Data Communication, * Introduction to AI Ethics, * Data Science for Social Good, * Introduction to Data Science for ...

NCSU

Lecturer of Data Science

Raleigh, NC · On-site

$4.0K/wk

Introduction to R/Python for Data Science, * Introduction to Data Visualization, * Data Communication, * Introduction to AI Ethics, * Data Science for Social Good, * Introduction to Data Science for ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site +1

$115K - $192K/yr

The company employs over 2,000 technologists, data scientists, and experts to develop, test, and ... Strong coding skills in Python or another programming language. * Excellent communicator, able to ...

RELX

Manager Data Science

Raleigh, NC · On-site +1

$115K - $192K/yr

The company employs over 2,000 technologists, data scientists, and experts to develop, test, and ... Strong coding skills in Python or another programming language. * Excellent communicator, able to ...

RELX Group plc

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

The company employs over 2,000 technologists, data scientists, and experts to develop, test, and ... Strong coding skills in Python or another programming language. * Excellent communicator, able to ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

The company employs over 2,000 technologists, data scientists, and experts to develop, test, and ... Strong coding skills in Python or another programming language. * Excellent communicator, able to ...

TEKsystems

Sr. Manager Of Data Science

Raleigh, NC

$85 - $96/hr

Top Skills' Details Data Science, Machine Learning, Applied AI, Leadership Description Role ... with Python, ML and LLM tooling such as Google ADK, LangChain, ML Frameworks (e.g. TensorFlow ...

TEKsystems

Sr. Manager Of Data Science

Raleigh, NC

Top Skills' Details Data Science, Machine Learning, Applied AI, Leadership Description Role ... with Python, ML and LLM tooling such as Google ADK, LangChain, ML Frameworks (e.g. TensorFlow ...

Varsity Tutors

Python Tutor

Raleigh, NC · Remote

$18 - $40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Varsity Tutors

Python Tutor

Durham, NC · Remote

$18 - $40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Varsity Tutors

Python Tutor

Chapel Hill, NC · Remote

$18 - $40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

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All JobsPython Data Science JobsPython Data Science Jobs in Raleigh, NC

Python Data Science information

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$12

$56

$83

How much do python data science jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for python data science in Raleigh, NC is $56.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.97 and $64.71 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Python Data Science position, and why are they important?

To thrive in Python Data Science, you need strong programming skills in Python, a solid understanding of statistics, data manipulation, and experience with data analytics or machine learning, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with tools such as pandas, NumPy, scikit-learn, Jupyter Notebooks, and knowledge of SQL are typically essential; certifications like Google Data Analytics or IBM Data Science can be advantageous. Critical thinking, problem-solving, and effective communication are key soft skills for translating data insights into actionable business recommendations. These skills are crucial to efficiently analyze large datasets, build predictive models, and deliver meaningful insights that drive decision-making.

What are typical day-to-day responsibilities in a Python Data Science role?

In a Python Data Science role, your typical day might involve collecting, cleaning, and preparing raw data, exploring datasets to uncover patterns and trends, and building or evaluating predictive models. You’ll regularly use Python libraries to conduct analyses, visualize results, and collaborate with cross-functional teams such as product managers or engineers to define business objectives. Presenting your findings in clear, actionable formats for both technical and non-technical stakeholders is also a key part of the job. This dynamic environment emphasizes continuous learning, problem-solving, and close communication with other departments to align analytical insights with organizational goals.

What is a Python Data Science job?

A Python Data Science job involves using Python to analyze, process, and visualize data to extract insights and inform decision-making. It typically includes working with libraries like Pandas, NumPy, and Scikit-learn for data manipulation, statistical analysis, and machine learning. Professionals in this role may clean and preprocess data, build models, and communicate findings through reports or visualizations. Python Data Scientists often work in industries like finance, healthcare, and technology to solve complex problems and optimize business strategies.

What does a data scientist do with Python?

A data scientist uses Python to analyze and interpret large datasets, develop machine learning models, and create data visualizations. They utilize libraries like pandas, scikit-learn, and matplotlib to extract insights and support data-driven decision-making.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming in Python, understanding statistics, and working with tools like Jupyter notebooks, regardless of age.

Is Python a high paying job?

Python Data Science roles are generally well-paid due to high demand for skills in data analysis, machine learning, and programming. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech sector.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, statistical analysis, and data visualization tools like Pandas and TensorFlow tend to command higher salaries.
What are the most commonly searched types of Python Data Science jobs in Raleigh, NC? The most popular types of Python Data Science jobs in Raleigh, NC are:
What are popular job titles related to Python Data Science jobs in Raleigh, NC? For Python Data Science jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Python Data Science jobs in Raleigh, NC look for? The top searched job categories for Python Data Science jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Python Data Science jobs? Cities near Raleigh, NC with the most Python Data Science job openings:
Python Data Science jobs near you
Infographic showing various Python Data Science job openings in Raleigh, NC as of June 2026, with employment types broken down into 3% As Needed, 51% Full Time, 42% Part Time, 2% Contract, and 2% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $118,522 per year, or $57 per hour.

Director, Data Science

Fidelity Investments

Durham, NC • On-site

Full-time

Retirement

Posted 16 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 264 frontline employees who took The Breakroom Quiz

14th of 139 rated financial services

Job description


Position Description:
Leads and oversees end-to-end data science initiatives, guiding teams through data cleansing, preparation, annotation, feature engineering, exploratory analysis, and model development. Provides strategic direction on Machine Learning (ML) pipeline architecture, ensures alignment with business objectives, and drives cross-functional collaboration to deliver scalable, high-impact solutions. Draws on in-depth knowledge of the business or function to provide business unit-wide solutions by building, testing and monitoring AI models. Researches and recommends new technologies, and seizes opportunities by staying abreast of publications, tools, and techniques from the global Artificial Intelligence (AI/ML) community, in support of the strategic direction of the business unit and to achieve business-unit-wide solutions.
Primary Responsibilities:
  • Identifies business opportunities and evaluates best approaches for predictive or prescriptive analytics.
  • Implements best practices for model development, iteration, as well as code management and conducts code reviews.
  • Draws key business insights from advanced quantitative analyses and presents findings to broader audience.
  • Leads the design and deployment of advanced analytics solutions that convert raw data into actionable intelligence.
  • Delivers scalable insights, while aligning analytics infrastructure with business priorities.
  • Directs the development and integration of analytics frameworks that transform raw data into strategic insights.
  • Ensures solutions are scalable, business-aligned, and drive data-informed decision-making across the organization.
  • Leads and oversees the full AI/ML lifecycle -- data ingestion, model development, training, deployment, and monitoring.
  • Identifies and consults with internal and external technical resources to produce cross-company strategic designs.
  • Consults on deployment of major project deliverables.
  • Initiates and drives project or strategy discussions with users or external groups to resolve issues.
  • Sets vision, goals, and direction of team/organization.
  • Plans and leads organization-wide initiatives.
  • Provides leadership, technical supervision, and expertise to multiple teams in broad technical areas on complex organization-wide projects.
  • Advises senior management on technical strategy.
  • Regularly provides guidance, training, and coaching to other team members for performance and career development.
  • Identifies and plans for future resource needs.

Education and Experience:
Bachelor's degree in Analytics, Computer Science, Data Science, Operations Research, Economics, or a closely related field (or foreign education equivalent) and six (6) years of experience as a Director, Data Science (or closely related occupation) designing and building complex and scalable Artificial Intelligence (AI) pipelines to improve customer experience and drive business results in the financial services industry.
Or, alternatively, Master's degree in Analytics, Computer Science, Data Science, Operations Research, Economics, or a closely related field (or foreign education equivalent) and four (4) years of experience as a Director, Data Science (or closely related occupation) designing and building complex and scalable Artificial Intelligence (AI) pipelines to improve customer experience and drive business results in the financial services industry.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") developing supervised and unsupervised Machine Learning (ML) algorithms -- regression, gradient boosting trees/random forest, neural network, feature selection/reduction, clustering, and parameter tuning -- using R, Python, and SAS programming languages; and analyzing and evaluating model results by creating data visualizations and business intelligence reports in Tableau and Adobe Analytics.

  • DE performing data wrangling and feature engineering for large, complex data across Cloud and on-premise data warehouses -- Oracle, Greenplum/Postgres, Hadoop/Hive, Snowflake, S3, and Redis -- using SQL, Python, and database specific SQL; standardizing and optimizing complex queries using database techniques -- partitioning and parallel processing; aggregating time series and transaction tables; creating appropriate features for modeling out of structured and unstructured data; detecting and preventing data leakage and model biases through model fairness measures using open-source AI fairness and ethics libraries.

  • DE analyzing technology solutions for supporting model deployment and integration in Cloud and on premise environments; and building model deployment and integration workflows on Amazon Web Services (AWS), on-premise Hadoop, and UNIX platforms through Git, Jenkins, Python scripts, cron jobs, step functions, Docker images, and APIs.

  • DE migrating existing AI/ML processes from on-premise environments to AWS platforms, using Extract- Transform-Load (ETL) procedures, Python, and Docker containers; creating data quality guardrails to validate model inputs and outputs using ICEDQ; and addressing financial services Cloud security constraints and record systems for workplace services -- 401(K), defined benefits, and workplace compensation and retirement plans, using AWS security tools.

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Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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